{"id":"W2003837519","doi":"10.1371/journal.pone.0084749","title":"ABO Genotype, ‘Blood-Type’ Diet and Cardiometabolic Risk Factors","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Advanced Foods and Materials Network","keywords":"ABO blood group system; Medicine; Waist; Blood pressure; Body mass index; Internal medicine; Type 2 diabetes; Blood type (non-human); Genotyping; Blood lipids; Genotype; Diabetes mellitus; Endocrinology; Cholesterol; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002691297,0.0002314458,0.0002191123,0.0002407051,0.0003324854,0.0004785497,0.0001708268,0.0003278433,0.003317729],"category_scores_gemma":[0.0009138685,0.0001023104,0.0001716088,0.00067085,0.0001928305,0.000123298,0.0001402725,0.0002434001,0.0002128228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889457,"about_ca_system_score_gemma":0.00022178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553755,"about_ca_topic_score_gemma":0.0137654,"domain_scores_codex":[0.9998868,0.00003035461,0.00001276636,0.00003039772,0.0000180432,0.00002178718],"domain_scores_gemma":[0.9994366,0.0001192112,0.0002432755,0.00004453379,0.00004637074,0.000110019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000406469,0.0000397371,0.9958754,0.00002977275,0.0001112533,0.00007970186,0.00006421274,0.00004476603,0.0008060007,0.00003620257,0.0001918919,0.002314694],"study_design_scores_gemma":[0.000007664605,0.00004910994,0.999301,0.000008692991,0.00005075606,0.0001435321,0.00003506183,0.0001001354,0.00005743884,0.00003812134,0.0002068764,0.000001622954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980469,0.000634716,0.0001115446,0.0000950364,0.00001210329,0.00000406954,0.0003708192,0.000005199429,0.0007197366],"genre_scores_gemma":[0.9988528,0.0001565258,0.0002081821,0.00004524119,0.0000127055,0.000005841754,0.0002605401,0.000003064053,0.0004550534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553755,"threshold_uncertainty_score":0.03089422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173860648665579,"score_gpt":0.2183285966581419,"score_spread":0.2009425317915839,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}